Forward Deployed Machine Learning Engineer Applied Ai In Montreal jobs in Montreal – Browse 1,503 openings on RoboApply Jobs
Forward Deployed Machine Learning Engineer Applied Ai In Montreal jobs in Montreal
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Join Mistral as a Forward Deployed Machine Learning Engineer in Montreal, where you will play a pivotal role in applying cutting-edge AI technologies to real-world challenges. This position is ideal for innovative engineers passionate about leveraging machine learning to develop impactful solutions.
Mistral is at the forefront of artificial intelligence innovation, dedicated to transforming industries through advanced machine learning applications. We foster a culture of creativity, collaboration, and continuous learning. Join us to be part of a team that is shaping the future of AI.
Join Mistral as a Forward Deployed Machine Learning Engineer in Montreal, where you will play a pivotal role in applying cutting-edge AI technologies to real-world challenges. This position is ideal for innovative engineers passionate about leveraging machine learning to develop impactful solutions.
About the RoleJoin Saris AI, an innovative applied AI startup located in Montreal and San Francisco, dedicated to revolutionizing the banking industry. We are addressing a massive $100 billion annual challenge that is rapidly evolving, and we are pushing the frontiers of what can be achieved with advanced multi-turn AI systems.Our mission is to resolve complex automation issues that necessitate long-context reasoning, seamless tool orchestration across legacy systems, and rigorous compliance processes—problems that lack straightforward solutions.Having successfully deployed real agents to manage genuine customer workflows, we are experiencing rapid growth and are in search of highly technical individuals eager to make a significant impact from the start.As a core member of our Forward Deployed Engineer (FDE) team, you will play a critical role in implementing strategies across various clients while remaining actively engaged in coding.Your Responsibilities Include:Develop tailored AI features, APIs, or integrations to connect product offerings with client systems.Engage directly with clients to grasp their business objectives and technical specifications.Act as a technical advisor throughout the deployment process.Lead the comprehensive development of client-specific solutions, encompassing backend, frontend, infrastructure, and deployment tasks.Rapidly create proof-of-concepts or MVPs to validate ideas with clients.Document implementation specifics and best practices for client projects.Who You Are:Proven experience in software implementation roles such as solutions engineer or solutions architect.Strong ability to establish relationships with customers, ideally within SaaS environments.Full-stack development experience, particularly with our technology stack: NodeJS, TypeScript, Python, AWS.A talent for managing high-impact customer integrations to enhance AI-driven automation processes.Why Work with Us?
Osedea
About UsAt Osedea, we are a dynamic and innovative technology development company where people are at the heart of our mission. We genuinely care about our clients and the community around us, alongside fostering the personal and professional growth of our team members. We believe in the strength of community and actively seek to create meaningful connections with everyone we encounter. Diversity is celebrated in all its forms—whether it’s backgrounds, personalities, career paths, or languages. Our culture encourages innovation, learning, and storytelling that makes everyone feel welcome and included.We believe in enjoying our work and strive each day to create a more efficient and enjoyable world.Role Overview As an Applied AI Scientist at Osedea, you will be responsible for designing, developing, and deploying AI solutions that effectively address our clients' real-world challenges. You will leverage strong software engineering principles alongside hands-on expertise in AI and machine learning. Comfort in transitioning from exploratory phases to production environments is essential. You will collaborate with both technical and non-technical team members, mentor peers, and facilitate sound technical decision-making as we create enterprise-level AI solutions.
About Mistral AI At Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save valuable time, and foster creativity and learning. Our advanced technology is crafted to seamlessly integrate into everyday workflows. We are committed to democratizing AI through the development of high-performance, optimized, open-source models and innovative solutions. Our all-encompassing AI platform caters to enterprise needs, whether they are deployed on-premises or in the cloud. Among our offerings is 'le Chat', an AI assistant designed to enhance both personal and professional life. Join our vibrant, collaborative team that is passionate about the potential of AI to revolutionize society. Our diverse workforce excels in competitive settings and is dedicated to driving innovation. With team members located across France, the USA, the UK, Germany, and Singapore, we embody a creative, low-ego, and team-oriented culture. Become a part of our pioneering company that is shaping the future of AI. Together, we can create significant change. Learn more about our culture at mistral.ai/careers. Role Overview: Mistral AI is on the lookout for a Technical Lead in Applied AI who will spearhead the technical direction, execution, and delivery of intricate AI solutions tailored for our enterprise clientele. In this pivotal role, you will guide project teams of Applied AI Engineers, ensuring the successful rollout of Mistral AI products while developing impactful and scalable AI use cases. As the primary technical liaison for our most strategic clients, you will navigate them through every phase—from pre-sales to post-implementation—collaborating closely with research, product, and engineering teams to influence the future of our offerings. In your role as Technical Lead, you will connect cutting-edge AI research with real-world applications, guaranteeing that our solutions are robust, scalable, and aligned with both customer requirements and Mistral’s technological aspirations. Key Responsibilities: - As an individual contributor, deliver essential code for our complex projects, remaining hands-on to mitigate risks associated with critical components. Engage deeply in coding, reviewing, and optimizing AI solutions.
At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.
Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).
Join the innovative team at Rainbow Six as a Machine Learning Programmer specializing in character and animation. This role invites you to leverage your expertise in machine learning to enhance the gaming experience, creating lifelike characters and animations that captivate players. Collaborate with talented designers and developers to push the boundaries of what's possible in game design.
About UsAt osedea, we are a dynamic and innovative technology development company that places people at the core of our mission. Our commitment extends beyond delivering exceptional services to our clients; we genuinely care about our team members' aspirations, dreams, and professional growth.We believe in the strength of community, actively seeking to forge meaningful connections with everyone we encounter.Diversity is celebrated in all its forms here. We value different backgrounds, perspectives, and experiences, fostering an environment where every individual feels welcomed and included.With a focus on collaboration and enjoyment, we approach each day with enthusiasm as we strive to create a more efficient and enjoyable world.
Valsoft Corp.
About Valsoft Corp.Founded in 2015 in Canada, Valsoft Corp. has expanded its reach to a global portfolio of over 120 companies. We specialize in acquiring and developing vertical market software firms, empowering each business to provide exceptional mission-critical solutions tailored to their industry needs. Valsoft is committed to investing in established enterprises while cultivating an entrepreneurial atmosphere that transforms companies into industry leaders.We focus on building, holding, and generating value through long-lasting partnerships with existing management teams.About the RoleWe are in search of a talented AI Engineer to join our team in designing, building, and deploying intelligent systems that will drive the next generation of our products. In this position, you will operate at the crossroads of machine learning, data analysis, and software engineering, crafting AI-powered features that create tangible value for our customers.Your role will involve close collaboration with product, engineering, and data teams to convert innovative ideas into scalable AI solutions, from initial experimentation and model development through to production deployment.This is a fantastic opportunity to work with cutting-edge AI technologies and influence how artificial intelligence is integrated across our platform.What You’ll DoDesign, develop, and deploy machine learning and AI models within production environments.Create and maintain AI-driven features and services across our suite of products.Manage large datasets to train, evaluate, and enhance model performance.Implement and optimize LLM-based applications, NLP models, and recommendation systems.Collaborate with product and engineering teams to address business challenges with innovative AI solutions.Develop scalable pipelines for data processing, model training, and inference.Monitor model performance and continuously enhance accuracy, efficiency, and reliability.Stay informed about the latest advancements in AI, machine learning, and generative AI.What We’re Looking ForMinimum of 3 years of experience in AI, machine learning, or data science engineering.Proficient programming skills in Python.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Familiarity with LLMs, NLP, or generative AI technologies.Proven experience in deploying models within production environments.Knowledge of data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure).Strong analytical and problem-solving abilities, with a knack for translating business needs into technical solutions.
***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.
Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits
About the RoleWe are seeking two highly skilled backend engineers to become integral members of our dynamic team in Montreal and Berlin. In this role, you will be instrumental in enhancing our technological capabilities by significantly improving our core backend functionalities, thereby enabling other teams to efficiently utilize this backend.If you are enthusiastic about creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the growth of an ambitious startup, then this opportunity is tailor-made for you.Our Technology Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGoogle Cloud Platform (GCP)Joining us as an early team member means assuming significant responsibilities from the outset, with the chance to influence our foundational technological stack and infrastructure.As part of one of the most forward-thinking AI companies today, you will collaborate with a talented team of colleagues who are leaders in their respective domains, creating an incredibly stimulating work environment. Your ResponsibilitiesOwn the delivery of complex projects, collaborating with cross-functional teams to ensure the timely completion of mission-critical components.Gain a comprehensive understanding of Reliant's overarching vision and incorporate this into your architectural and process decisions.Provide insightful feedback to refine UI/UX concepts and assist in planning backend and infrastructure enhancements.Take proactive steps to maintain long-term code quality and architectural integrity. QualificationsWe are looking for a candidate with a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design to facilitate scalability for both opportunities and team growth.You will excel in this position if you possess the following skills and experiences:5+ years of demonstrable experience in building backend services or distributed systems.Experience in designing, building, testing, and maintaining backend services and APIs that support product features, including the ability to write robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed decisions regarding scalability, latency, cost, and reliability.Ability to navigate ambiguity and translate high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure code quality through writing, reviewing, and enhancing unit/integration tests.
Bounteous brings together over 4,000 professionals worldwide, partnering with ambitious brands to solve complex business challenges through digital solutions. The company’s expertise covers strategy, analytics, digital engineering, cloud, data and AI, experience design, and marketing. Bounteous works closely with leading technology providers to create digital experiences that drive customer engagement and business growth. Role overview The Data Scientist will join a dedicated machine learning team in Montreal, working on Artificial Intelligence projects. The scope includes both traditional machine learning and generative AI. This position involves close collaboration with clients and subject matter experts to transform business needs into Python-based solutions and machine learning models. What you will do Develop AI solutions using traditional machine learning and generative AI techniques Write Python code to implement business requirements Build, test, and validate machine learning models, providing clear analysis and supporting evidence Collaborate with clients and domain experts to define and refine solution requirements Support the full lifecycle of machine learning and generative AI solutions, including maintenance and performance monitoring Requirements Strong Python development skills Experience with predictive analytics and prompt engineering Understanding of the complete machine learning and generative AI lifecycle Ability to work with cross-functional teams and communicate technical concepts clearly Location This role is based in Montreal, QC.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.
At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.
MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.
***English version below***To be considered for this role, you must be based in Montreal due to the hybrid nature of the position.The journey of travel goes beyond reaching a destination; it is woven with every memory we create along the way. At Plusgrade, we are committed to redefining the future of travel by collaborating with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create significant new revenue streams through exceptional customer experiences. Founded on our core values of ambition, innovation, and collaboration, we are constantly driven to push boundaries, exceed expectations, and harness the best of each other. We foster a culture that believes our strength lies in unity, working together to build an extraordinary future in the travel space. Join us in transforming everyday travel into truly extraordinary experiences.ABOUT THE ROLE:As a Solution Architect for the Machine Learning Applications team, you will serve as the cornerstone of our ML ecosystem. You will be responsible for designing and overseeing the deployment of innovative platform solutions that address complex business challenges. This role requires a strong background in software development, high-level problem-solving skills, and the ability to align cross-functional teams (Data Science, Data Engineering, and Enterprise Architecture).WHAT YOU WILL DO:Reporting to the Director, ML Applications, Product Intelligence, you will: • Lead end-to-end architectural design for machine learning applications, ensuring highly available, low-latency, scalable, robust, and reusable solutions. • Collaborate closely with the Data Science team to ensure models are production-ready and aligned with application requirements. • Work with the Data Engineering Architect to synchronize data pipelines, storage solutions, and feature delivery. • Collaborate with the broader architecture community within the organization to achieve consensus and ensure consistency in technology standards. • Design full-stack solutions covering both complex ML back-end logic and intuitive front-end layers. • Actively contribute to the codebase by developing key components in Python along with integration logic. • Manage technical delivery while adhering to the team's roadmap and ensuring alignment with business goals.
Join MaintainX, the premier mobile-first Asset and Work Intelligence platform tailored for industrial and frontline settings. Our cutting-edge, IoT-driven, cloud-based solution optimizes maintenance, safety, and operational efficiency for physical assets and facilities. We empower over 12,000 organizations, including industry leaders like Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell, to achieve unparalleled operational excellence and reliability. Following a successful $150 million Series D funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, positioning the company with a valuation of $2.5 billion. As we embark on our next growth phase, we are heavily investing in AI/ML, LLMs, and Industrial IoT to revolutionize frontline operations—anticipating failures before they occur, automating workflows, and integrating intelligence into every asset and process. Key Responsibilities: Design and train machine learning models for fault detection and classification using time-series sensor data, including vibration, temperature, pressure, and flow. Conduct exploratory data analysis (EDA) on various data types to extract insights and identify fault patterns. Experiment with and assess different algorithms, including time-series modeling, signal processing, and statistical methods, to enhance model performance. Work alongside domain experts to validate results and ensure practical application alignment. Document processes, experiments, and methodologies for reproducibility and knowledge sharing within the team. Participate in on-call duties as required.
Mila - Quebec Artificial Intelligence Institute
Join Mila, a leading research institute in artificial intelligence, as an Applied Research Scientist specializing in AI Security. In this role, you will contribute to cutting-edge research and develop innovative solutions to enhance the security of artificial intelligence systems. Collaborate with a talented team of scientists and engineers to tackle complex challenges and drive advancements in AI technology.
CD PROJEKT RED
CD PROJEKT RED’s Montreal studio is seeking a Machine Learning & Game Technology Architect to join the engineering team. This role centers on designing and building advanced machine learning algorithms and game technologies to enhance player experiences and support the studio’s future titles. Key Responsibilities Lead the design and implementation of machine learning solutions for game development projects. Work closely with teams across the studio to ensure new technology integrates smoothly with existing game engines. Set and uphold technical direction for projects, focusing on quality and performance. Requirements The ideal candidate brings a strong background in both machine learning and game technology. Experience collaborating with multidisciplinary teams and providing technical leadership is essential for shaping project outcomes.
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Join Mistral as a Forward Deployed Machine Learning Engineer in Montreal, where you will play a pivotal role in applying cutting-edge AI technologies to real-world challenges. This position is ideal for innovative engineers passionate about leveraging machine learning to develop impactful solutions.
About the RoleJoin Saris AI, an innovative applied AI startup located in Montreal and San Francisco, dedicated to revolutionizing the banking industry. We are addressing a massive $100 billion annual challenge that is rapidly evolving, and we are pushing the frontiers of what can be achieved with advanced multi-turn AI systems.Our mission is to resolve complex automation issues that necessitate long-context reasoning, seamless tool orchestration across legacy systems, and rigorous compliance processes—problems that lack straightforward solutions.Having successfully deployed real agents to manage genuine customer workflows, we are experiencing rapid growth and are in search of highly technical individuals eager to make a significant impact from the start.As a core member of our Forward Deployed Engineer (FDE) team, you will play a critical role in implementing strategies across various clients while remaining actively engaged in coding.Your Responsibilities Include:Develop tailored AI features, APIs, or integrations to connect product offerings with client systems.Engage directly with clients to grasp their business objectives and technical specifications.Act as a technical advisor throughout the deployment process.Lead the comprehensive development of client-specific solutions, encompassing backend, frontend, infrastructure, and deployment tasks.Rapidly create proof-of-concepts or MVPs to validate ideas with clients.Document implementation specifics and best practices for client projects.Who You Are:Proven experience in software implementation roles such as solutions engineer or solutions architect.Strong ability to establish relationships with customers, ideally within SaaS environments.Full-stack development experience, particularly with our technology stack: NodeJS, TypeScript, Python, AWS.A talent for managing high-impact customer integrations to enhance AI-driven automation processes.Why Work with Us?
Osedea
About UsAt Osedea, we are a dynamic and innovative technology development company where people are at the heart of our mission. We genuinely care about our clients and the community around us, alongside fostering the personal and professional growth of our team members. We believe in the strength of community and actively seek to create meaningful connections with everyone we encounter. Diversity is celebrated in all its forms—whether it’s backgrounds, personalities, career paths, or languages. Our culture encourages innovation, learning, and storytelling that makes everyone feel welcome and included.We believe in enjoying our work and strive each day to create a more efficient and enjoyable world.Role Overview As an Applied AI Scientist at Osedea, you will be responsible for designing, developing, and deploying AI solutions that effectively address our clients' real-world challenges. You will leverage strong software engineering principles alongside hands-on expertise in AI and machine learning. Comfort in transitioning from exploratory phases to production environments is essential. You will collaborate with both technical and non-technical team members, mentor peers, and facilitate sound technical decision-making as we create enterprise-level AI solutions.
About Mistral AI At Mistral AI, we harness the transformative power of artificial intelligence to streamline processes, save valuable time, and foster creativity and learning. Our advanced technology is crafted to seamlessly integrate into everyday workflows. We are committed to democratizing AI through the development of high-performance, optimized, open-source models and innovative solutions. Our all-encompassing AI platform caters to enterprise needs, whether they are deployed on-premises or in the cloud. Among our offerings is 'le Chat', an AI assistant designed to enhance both personal and professional life. Join our vibrant, collaborative team that is passionate about the potential of AI to revolutionize society. Our diverse workforce excels in competitive settings and is dedicated to driving innovation. With team members located across France, the USA, the UK, Germany, and Singapore, we embody a creative, low-ego, and team-oriented culture. Become a part of our pioneering company that is shaping the future of AI. Together, we can create significant change. Learn more about our culture at mistral.ai/careers. Role Overview: Mistral AI is on the lookout for a Technical Lead in Applied AI who will spearhead the technical direction, execution, and delivery of intricate AI solutions tailored for our enterprise clientele. In this pivotal role, you will guide project teams of Applied AI Engineers, ensuring the successful rollout of Mistral AI products while developing impactful and scalable AI use cases. As the primary technical liaison for our most strategic clients, you will navigate them through every phase—from pre-sales to post-implementation—collaborating closely with research, product, and engineering teams to influence the future of our offerings. In your role as Technical Lead, you will connect cutting-edge AI research with real-world applications, guaranteeing that our solutions are robust, scalable, and aligned with both customer requirements and Mistral’s technological aspirations. Key Responsibilities: - As an individual contributor, deliver essential code for our complex projects, remaining hands-on to mitigate risks associated with critical components. Engage deeply in coding, reviewing, and optimizing AI solutions.
At Stay22, we are transforming the way users convert online. Our AI-powered affiliate platform assists publishers, ticketing platforms, and content creators in generating new revenue streams while enhancing their audience's experience.Join us at Stay22, where our partners not only earn more but also provide a superior experience. Be part of a company that is fundamentally reshaping the affiliate landscape.Job SummaryYou will join the Neuro Squad, a specialized team dedicated to centralizing ML and AI innovation at Stay22. Neuro provides the technical foundations that power our core engines, including Roam (our machine learning-based redirect engine) and Spark (our AI-driven affiliate logic engine).As a Senior ML/DL Developer within the Neuro Squad, your responsibilities will include designing and architecting the intelligence behind these products. This role encompasses the entire lifecycle of our ML platforms—from training pipeline design to real-time inference API optimization.You will work with cutting-edge technologies (including LLMs) and collaborate closely with the Data team and Forge Squad to ensure our AI solutions are scalable, secure, and production-ready.
Join Mistplay as a Staff Machine Learning Engineer, leading the development of cutting-edge AI solutions in the mobile gaming sector. Mistplay is recognized as the foremost loyalty application for mobile gamers, empowering millions to explore new games while earning rewards for their time and investment. Our mission is to enhance the mobile gaming experience for users globally. Download Mistplay on the Google Play Store here and connect with us on Instagram, Twitter, and Facebook. Please Note: In Canada , Mistplay follows a hybrid model of 2 days per week in-office at our locations in Toronto (400 University Ave) and Montreal (1001 Blvd. Robert-Bourassa).
Join the innovative team at Rainbow Six as a Machine Learning Programmer specializing in character and animation. This role invites you to leverage your expertise in machine learning to enhance the gaming experience, creating lifelike characters and animations that captivate players. Collaborate with talented designers and developers to push the boundaries of what's possible in game design.
About UsAt osedea, we are a dynamic and innovative technology development company that places people at the core of our mission. Our commitment extends beyond delivering exceptional services to our clients; we genuinely care about our team members' aspirations, dreams, and professional growth.We believe in the strength of community, actively seeking to forge meaningful connections with everyone we encounter.Diversity is celebrated in all its forms here. We value different backgrounds, perspectives, and experiences, fostering an environment where every individual feels welcomed and included.With a focus on collaboration and enjoyment, we approach each day with enthusiasm as we strive to create a more efficient and enjoyable world.
Valsoft Corp.
About Valsoft Corp.Founded in 2015 in Canada, Valsoft Corp. has expanded its reach to a global portfolio of over 120 companies. We specialize in acquiring and developing vertical market software firms, empowering each business to provide exceptional mission-critical solutions tailored to their industry needs. Valsoft is committed to investing in established enterprises while cultivating an entrepreneurial atmosphere that transforms companies into industry leaders.We focus on building, holding, and generating value through long-lasting partnerships with existing management teams.About the RoleWe are in search of a talented AI Engineer to join our team in designing, building, and deploying intelligent systems that will drive the next generation of our products. In this position, you will operate at the crossroads of machine learning, data analysis, and software engineering, crafting AI-powered features that create tangible value for our customers.Your role will involve close collaboration with product, engineering, and data teams to convert innovative ideas into scalable AI solutions, from initial experimentation and model development through to production deployment.This is a fantastic opportunity to work with cutting-edge AI technologies and influence how artificial intelligence is integrated across our platform.What You’ll DoDesign, develop, and deploy machine learning and AI models within production environments.Create and maintain AI-driven features and services across our suite of products.Manage large datasets to train, evaluate, and enhance model performance.Implement and optimize LLM-based applications, NLP models, and recommendation systems.Collaborate with product and engineering teams to address business challenges with innovative AI solutions.Develop scalable pipelines for data processing, model training, and inference.Monitor model performance and continuously enhance accuracy, efficiency, and reliability.Stay informed about the latest advancements in AI, machine learning, and generative AI.What We’re Looking ForMinimum of 3 years of experience in AI, machine learning, or data science engineering.Proficient programming skills in Python.Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.Familiarity with LLMs, NLP, or generative AI technologies.Proven experience in deploying models within production environments.Knowledge of data pipelines, APIs, and cloud platforms (AWS, GCP, or Azure).Strong analytical and problem-solving abilities, with a knack for translating business needs into technical solutions.
***English version below***Travel transcends destinations; it is woven from the memories created along the way. At Plusgrade, we are committed to redefining the future of travel by partnering with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create meaningful new revenue streams through exceptional customer experiences. Grounded in our core values of ambition, innovation, and collaboration, we are continuously driven to push boundaries, exceed expectations, and harness the best of everyone. We cultivate a culture that believes our strength lies in our unity, working together to build an extraordinary future in the travel industry. Join us in transforming everyday journeys into truly remarkable experiences.ABOUT THE POSITIONAs a Machine Learning Engineer within the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to tackle complex business challenges. This role requires a strong software development background, a keen interest in cutting-edge technologies, excellent problem-solving skills, and the ability to work both independently and collaboratively in a fast-paced environment.This position reports to the Director of ML Applications.YOUR RESPONSIBILITIES:• Collaborate within a small team passionate about scaling the use of ML applications across the organization.• Productionize, scale, and commercialize state-of-the-art machine learning solutions.• Design and develop scalable and robust ML pipelines to enable predictive data usage by downstream applications, enhancing key performance indicators (KPIs) such as member engagement and revenue.• Create and implement robust processes for monitoring production ML pipelines.• Support production systems to deliver batch and real-time model predictions to all applications.• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architecture principles.• Work closely with our product, engineering, and marketing teams to develop data and ML solutions that address critical business questions.
Role overview Capco is seeking a Senior Machine Learning Engineer based in Montreal, Canada. This position centers on designing, developing, and refining machine learning models that drive data-informed decisions for clients in the financial services industry. The work covers the complete machine learning lifecycle: from experimentation and deployment to monitoring and continuous improvement. Generative AI and large language models are central to many of the solutions developed in this role. Main responsibilities Build and maintain machine learning models to address key business challenges Manage all phases of the model lifecycle, including feature engineering, tuning, evaluation, and calibration Use predictive analytics and develop queries to extract insights from complex datasets Test, benchmark, and monitor model performance over time Collaborate with stakeholders to translate business needs into scalable AI solutions Requirements Over 5 years of experience in machine learning or data science roles Strong Python programming abilities and hands-on experience building machine learning models Solid understanding of machine learning concepts, model lifecycle, and established practices Experience with large language models, generative AI, and designing queries Analytical approach and clear communication skills, comfortable working with both technical and business teams Preferred qualifications Background in wealth management or financial services (considered an asset) Knowledge of deploying, monitoring, and retraining models in production environments Experience with cloud-based AI platforms or scalable data infrastructure Familiarity with workflow automation or optimization tools Experience working within agile or cross-functional teams Why join Capco? Work on innovative solutions alongside a collaborative team Partner with recognized experts in the field Grow your career in a supportive and inclusive environment Competitive salary and benefits
About the RoleWe are seeking two highly skilled backend engineers to become integral members of our dynamic team in Montreal and Berlin. In this role, you will be instrumental in enhancing our technological capabilities by significantly improving our core backend functionalities, thereby enabling other teams to efficiently utilize this backend.If you are enthusiastic about creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the growth of an ambitious startup, then this opportunity is tailor-made for you.Our Technology Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGoogle Cloud Platform (GCP)Joining us as an early team member means assuming significant responsibilities from the outset, with the chance to influence our foundational technological stack and infrastructure.As part of one of the most forward-thinking AI companies today, you will collaborate with a talented team of colleagues who are leaders in their respective domains, creating an incredibly stimulating work environment. Your ResponsibilitiesOwn the delivery of complex projects, collaborating with cross-functional teams to ensure the timely completion of mission-critical components.Gain a comprehensive understanding of Reliant's overarching vision and incorporate this into your architectural and process decisions.Provide insightful feedback to refine UI/UX concepts and assist in planning backend and infrastructure enhancements.Take proactive steps to maintain long-term code quality and architectural integrity. QualificationsWe are looking for a candidate with a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design to facilitate scalability for both opportunities and team growth.You will excel in this position if you possess the following skills and experiences:5+ years of demonstrable experience in building backend services or distributed systems.Experience in designing, building, testing, and maintaining backend services and APIs that support product features, including the ability to write robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed decisions regarding scalability, latency, cost, and reliability.Ability to navigate ambiguity and translate high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure code quality through writing, reviewing, and enhancing unit/integration tests.
Bounteous brings together over 4,000 professionals worldwide, partnering with ambitious brands to solve complex business challenges through digital solutions. The company’s expertise covers strategy, analytics, digital engineering, cloud, data and AI, experience design, and marketing. Bounteous works closely with leading technology providers to create digital experiences that drive customer engagement and business growth. Role overview The Data Scientist will join a dedicated machine learning team in Montreal, working on Artificial Intelligence projects. The scope includes both traditional machine learning and generative AI. This position involves close collaboration with clients and subject matter experts to transform business needs into Python-based solutions and machine learning models. What you will do Develop AI solutions using traditional machine learning and generative AI techniques Write Python code to implement business requirements Build, test, and validate machine learning models, providing clear analysis and supporting evidence Collaborate with clients and domain experts to define and refine solution requirements Support the full lifecycle of machine learning and generative AI solutions, including maintenance and performance monitoring Requirements Strong Python development skills Experience with predictive analytics and prompt engineering Understanding of the complete machine learning and generative AI lifecycle Ability to work with cross-functional teams and communicate technical concepts clearly Location This role is based in Montreal, QC.
About Torc RoboticsAt Torc Robotics, we are at the forefront of revolutionizing autonomous vehicle technology, fundamentally changing the way we travel, transport goods, and conduct business. As a pioneering leader in the autonomous driving sector since 2007, we have spent over a decade collaborating with experienced partners to bring our innovative solutions to market. Now part of the esteemed Daimler family, we are dedicated exclusively to developing cutting-edge software for automated trucks, reshaping the future of freight movement. Join us to elevate your career with a company that has not only pioneered autonomous technology but also uniquely partnered with truck manufacturers to advance the field.Meet the Team:The Pseudo-Labeling team is committed to generating high-quality annotations on sensor data, including images and point clouds. Our annotations encompass 2D and 3D bounding boxes, classifications, trajectories, lane markings, segmentations, and depth information. These annotations serve various downstream users, supporting both perception teams in model training and simulation teams in data generation.
At MaintainX, we are revolutionizing asset and task management in industrial and frontline environments with the world's leading mobile platform. Our modern, IoT and cloud-based solutions enhance maintenance, safety, and operational efficiency for physical equipment and facilities. We empower over 12,000 organizations, including renowned names like Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, to achieve operational excellence and reliability at scale. Following our $150 million Series D funding led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, we have raised a total of $254 million, valuing MaintainX at $2.5 billion. As we embark on our next phase of growth, we are heavily investing in AI/ML, LLM, and industrial IoT to transform frontline team operations by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and procedure. The Role We are seeking a highly qualified and motivated Senior Machine Learning Engineer to drive the technical direction and architecture of our predictive maintenance and asset intelligence initiatives. You will combine deep expertise in machine learning with strong software engineering and leadership skills. You will mentor engineers, develop systems, and lead the roadmap for AI-driven maintenance intelligence across thousands of industrial sites. This position sits at the intersection of machine learning architecture, IoT data systems, and product impact, forming the cornerstone of MaintainX's predictive and generative AI strategy. Key Responsibilities: Lead the technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across all MaintainX products. Design end-to-end ML systems, from data ingestion and feature engineering to model training, deployment, and monitoring. Mentor a growing team of ML and data engineers, instilling best practices in experimentation, evaluation, and model lifecycle management. Collaborate with product and engineering leaders to align our efforts with the company's overarching goals.
MaintainX is the world's leading mobile platform dedicated to asset and task management in industrial and frontline environments. We offer a modern, cloud-based IoT solution that streamlines the maintenance, safety, and operation of physical equipment and facilities. Empowering over 12,000 organizations including Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we help them achieve operational excellence and reliability at scale. Following our Series D funding round of $150 million led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion. As we enter our next growth phase, we are heavily investing in AI/ML, LLMs, and industrial IoT to transform how frontline teams operate by predicting failures before they occur, automating workflows, and embedding intelligence into every asset and process.
***English version below***To be considered for this role, you must be based in Montreal due to the hybrid nature of the position.The journey of travel goes beyond reaching a destination; it is woven with every memory we create along the way. At Plusgrade, we are committed to redefining the future of travel by collaborating with over 250 airlines, hotels, cruise lines, rail networks, and financial services to create significant new revenue streams through exceptional customer experiences. Founded on our core values of ambition, innovation, and collaboration, we are constantly driven to push boundaries, exceed expectations, and harness the best of each other. We foster a culture that believes our strength lies in unity, working together to build an extraordinary future in the travel space. Join us in transforming everyday travel into truly extraordinary experiences.ABOUT THE ROLE:As a Solution Architect for the Machine Learning Applications team, you will serve as the cornerstone of our ML ecosystem. You will be responsible for designing and overseeing the deployment of innovative platform solutions that address complex business challenges. This role requires a strong background in software development, high-level problem-solving skills, and the ability to align cross-functional teams (Data Science, Data Engineering, and Enterprise Architecture).WHAT YOU WILL DO:Reporting to the Director, ML Applications, Product Intelligence, you will: • Lead end-to-end architectural design for machine learning applications, ensuring highly available, low-latency, scalable, robust, and reusable solutions. • Collaborate closely with the Data Science team to ensure models are production-ready and aligned with application requirements. • Work with the Data Engineering Architect to synchronize data pipelines, storage solutions, and feature delivery. • Collaborate with the broader architecture community within the organization to achieve consensus and ensure consistency in technology standards. • Design full-stack solutions covering both complex ML back-end logic and intuitive front-end layers. • Actively contribute to the codebase by developing key components in Python along with integration logic. • Manage technical delivery while adhering to the team's roadmap and ensuring alignment with business goals.
Join MaintainX, the premier mobile-first Asset and Work Intelligence platform tailored for industrial and frontline settings. Our cutting-edge, IoT-driven, cloud-based solution optimizes maintenance, safety, and operational efficiency for physical assets and facilities. We empower over 12,000 organizations, including industry leaders like Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell, to achieve unparalleled operational excellence and reliability. Following a successful $150 million Series D funding round led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, positioning the company with a valuation of $2.5 billion. As we embark on our next growth phase, we are heavily investing in AI/ML, LLMs, and Industrial IoT to revolutionize frontline operations—anticipating failures before they occur, automating workflows, and integrating intelligence into every asset and process. Key Responsibilities: Design and train machine learning models for fault detection and classification using time-series sensor data, including vibration, temperature, pressure, and flow. Conduct exploratory data analysis (EDA) on various data types to extract insights and identify fault patterns. Experiment with and assess different algorithms, including time-series modeling, signal processing, and statistical methods, to enhance model performance. Work alongside domain experts to validate results and ensure practical application alignment. Document processes, experiments, and methodologies for reproducibility and knowledge sharing within the team. Participate in on-call duties as required.
Mila - Quebec Artificial Intelligence Institute
Join Mila, a leading research institute in artificial intelligence, as an Applied Research Scientist specializing in AI Security. In this role, you will contribute to cutting-edge research and develop innovative solutions to enhance the security of artificial intelligence systems. Collaborate with a talented team of scientists and engineers to tackle complex challenges and drive advancements in AI technology.
CD PROJEKT RED
CD PROJEKT RED’s Montreal studio is seeking a Machine Learning & Game Technology Architect to join the engineering team. This role centers on designing and building advanced machine learning algorithms and game technologies to enhance player experiences and support the studio’s future titles. Key Responsibilities Lead the design and implementation of machine learning solutions for game development projects. Work closely with teams across the studio to ensure new technology integrates smoothly with existing game engines. Set and uphold technical direction for projects, focusing on quality and performance. Requirements The ideal candidate brings a strong background in both machine learning and game technology. Experience collaborating with multidisciplinary teams and providing technical leadership is essential for shaping project outcomes.
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